Mathematics and Statistics - University of Victoria
Siying’s research focuses on the comparison of multi-list disease analytic models for estimating the hidden population of COVID-19. The result is essential for the public health agencies to decide which type of data should be collected to analyze infectious diseases and will significantly reduce the costs of data collection.